Explore how AI-driven anomaly detection enhances the security of Model Context Protocol (MCP) deployments, protecting AI infrastructure from evolving threats with real-time insights.
Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.
5don MSNOpinion
The History That Suggests an AI Bubble
The history of AI shows how setting evaluation standards fueled progress. But today's LLMs are asked to do tasks without ...
A new study suggests AI models like ChatGPT and Claude consistently overestimate how rational humans really are, leading them ...
The current boom in AI technology has ridden on a wave known as ‘deep learning’, which is an approach to creating intelligent ...
ZME Science on MSN
The World’s Strangest Computer Is Alive and It Blurs the Line Between Brains and Machines
Scientists are building experimental computers from living human brain cells and testing how they learn and adapt.
In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...
EkitiThe National President of the Academic Staff Union of Secondary Schools (ASUSS) Nigeria, Sola Adigun, has described the West African Examinations Council (WAEC)’s decision to commence ...
You're currently following this author! Want to unfollow? Unsubscribe via the link in your email. Follow Lakshmi Varanasi Every time Lakshmi publishes a story, you’ll get an alert straight to your ...
XING Mobility will exhibit at CES 2026 in Las Vegas at the Las Vegas Convention Center, West Hall, Level 1, Booth #7059, ...
These are the LLMs that caught our attention in 2025—from autonomous coding assistants to vision models processing entire codebases.
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